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What is binary search?
Binary search is most useful when list is sorted. In binary search, element present in middle of the list is determined. If key (the number to search) is smaller than middle element, binary search is done on the first half. If key (number to search) is greater than middle element, binary search is done on the second half (right). First and the last half are again divided into two by determining the middle element.
How many recursive calls are called by the naïve recursive algorithm for binomial coefficients, C(10, 5) and C(21, 12) C(n,k){c(n-1,k)+c(n-1,k-1) if 1 1 if k = n or k = 0
Explain an efficient way of storing a sparse matrix in memory. A matrix in which number of zero entries are much higher than the number of non zero entries is called sparse mat
Efficiency of Linear Search How much number of comparisons is there in this search in searching for a particular element? The number of comparisons based upon where the reco
In this assignment, you are invited to design and implement a software system for catalogue sale. A catalogue is organised in a tree structure. Each node of the catalogue tree repr
A binary tree is a special tree where each non-leaf node can have atmost two child nodes. Most important types of trees which are used to model yes/no, on/off, higher/lower, i.e.,
What are the languages which support assertions Languages which support assertions often provide different levels of support. For instance, Java has an assert statement which t
Define container in terms of object-oriented terms A Container is a broad category whose instances are all more specific things; there is never anything which is just a Contai
prove that n/100=omega(n)
Algorithm for deletion of any element from the circular queue: Step-1: If queue is empty then say "queue is empty" & quit; else continue Step-2: Delete the "front" element
Operation of Algorithm The following sequence of diagrams shows the operation of Dijkstra's Algorithm. The bold vertices show the vertex to which shortest path has been find ou
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